RELATIVE COST CURVES: AN ALTERNATIVE TO AUC AND AN EXTENSION TO 3-CLASS PROBLEMS
Olga Montvida, Frank Klawonn
Kybernetika | KYBERNETIKA | Published : 2014
Performance evaluation of classifiers is a crucial step for selecting the best classifier or the best set of parameters for a classifier. Receiver Operating Characteristic (ROC) curves and Area Under the ROC Curve (AUC) are widely used to analyse performance of a classifier. However, the approach does not take into account that misclassification for different classes might have more or less serious consequences. On the other hand, it is often difficult to specify exactly the consequences or costs of misclassifications. This paper is devoted to Relative Cost Curves (RCC) - a graphical technique for visualising the performance of binary classifiers over the full range of possible relative misc..View full abstract
Awarded by Innovative Medicines Initiative Joint Undertaking from European Union
The research leading to these results has received support from the Innovative Medicines Initiative Joint Undertaking under grant agreement no 115523-2 - COMBACTE, resources of which are composed of financial contribution from the European Union's Seventh Framework Programme (FP7/2007-2013) and EFPIA companies in kind contribution.